Vehicle-mounted nuclear power system and energy storage capacity calculation method

Abstract

The invention discloses a vehicle-mounted nuclear power system and an energy storage capacity calculation method.The vehicle-mounted nuclear power system comprises a movable nuclear power unit, an energy storage unit, a load unit, a self-power-generation unit and a plurality of load vehicles, and the movable nuclear power unit, the energy storage unit, the load unit and the self-power-generation unit are arranged on the different load vehicles respectively. The movable nuclear power unit, the energy storage unit, the load unit and the self-generating unit are connected in parallel to a bus; the energy storage capacity calculation method comprises the steps of collecting operation data and environment data of the vehicle-mounted nuclear power system in the operation process, constructing an LSTM power prediction model to obtain load prediction data, constructing a power balance equation according to the load prediction data, the power of the movable nuclear power unit, the power of the energy storage unit and the power of the self-generating unit, and calculating the energy storage capacity of the vehicle-mounted nuclear power system. And finally, according to the operation condition and the reliability criterion of the vehicle-mounted nuclear power system, margin analysis is carried out to obtain the energy storage capacity.

Description

Technical Field

[0001] This invention relates to the field of micro nuclear power grids, specifically to a vehicle-mounted nuclear power system and a method for calculating energy storage capacity. Background Technology

[0002] When a power distribution network fails, mobile emergency power vehicles can be quickly moved to different locations as needed to provide immediate power support. However, current mobile emergency power vehicles are mainly energy storage or diesel generators, requiring repeated charging or large-scale diesel refueling. For some remote power consumption scenarios that are isolated from the main power grid or regional power grid for a long time, or for power consumption scenarios with long emergency recovery times, poor external power stability and security, and easy power loss, the feasibility of providing high-power power continuously for a long time is low. Moreover, the emissions generated by diesel generators during operation cause significant environmental pollution, making it difficult to meet the power distribution network's demand for continuous and stable power support. In contrast, mobile nuclear microgrids built based on mobile nuclear power sources, with their significant advantages of large capacity, small size, and long-term power supply, provide a solution to the existing shortcomings of mobile emergency power vehicles.

[0003] Currently, there is no mature vehicle-mounted nuclear power system solution in existing technologies. Vehicle-mounted power generation systems, which mainly rely on diesel generators or energy storage power sources, have significant shortcomings in terms of capacity and safety. On the one hand, existing vehicle-mounted power generation systems mostly use empirical parameters or static configuration methods to determine capacity, lacking scientific calculation methods that combine load fluctuations, environmental conditions, and the dynamic characteristics of power generation units. This makes it difficult to meet the requirements for continuous power supply capacity and safety under complex operating conditions. On the other hand, as a high-energy-density power source, the capacity configuration and operation control of nuclear power systems are directly related to system safety and stability. If a traditional simple capacity redundancy design is adopted, it may lead to insufficient energy storage unit configuration, affecting the continuity of power supply, or excessive energy storage unit configuration, increasing system size, cost, and risk.

[0004] Patent document CN102195334B discloses a method and system for improving the reliability of emergency power supplies in nuclear power plants. This includes at least one high-capacity battery storage system (a fixed storage system and / or a mobile storage system) as a supplement or replacement for the final emergency power supply of the nuclear power plant. It is activated when all existing emergency power supplies of the nuclear power plant fail, supplying power to the plant's emergency auxiliary equipment to maintain the removal of residual heat from the reactor core and the cooling of the spent fuel pool, thus ensuring the safety of the nuclear power plant. However, it does not address the problem of lacking a method for calculating the safe capacity of the vehicle-mounted power generation system that incorporates load fluctuations, environmental conditions, and the dynamic characteristics of the power generation unit.

[0005] Patent document CN220457130U discloses a distributed isolated grid power supply system based on a small modular lead-based reactor. The distributed isolated grid power supply system includes a reactor module, a thermoelectric conversion module, a mobile charging and discharging auxiliary module, and an energy storage emergency power supply module. The energy storage emergency power supply module includes an energy storage emergency electrical system, which includes a battery management component, a converter, and a controller. The controller is electrically connected to the battery management component and the converter, and the battery management component is electrically connected to the reactor module. However, it does not address the problem of lacking a safe capacity calculation method for the vehicle-mounted power generation system that incorporates load fluctuations, environmental conditions, and the dynamic characteristics of the power generation unit.

[0006] In summary, neither of the two existing patents mentioned above has solved the problem of the lack of a safe capacity calculation method for vehicle-mounted power generation systems that takes into account load fluctuations, environmental conditions, and the dynamic characteristics of the power generation unit. Summary of the Invention

[0007] Based on the above-mentioned technical problems, this invention proposes a vehicle-mounted nuclear power system and a method for calculating energy storage capacity, which solves the problem that vehicle-mounted power generation systems lack a method for calculating safe capacity that combines load fluctuations, environmental conditions, and the dynamic characteristics of power generation units.

[0008] To achieve the above objectives, the present invention proposes a vehicle-mounted nuclear power system.

[0009] A vehicle-mounted nuclear power system includes a mobile nuclear power unit, an energy storage unit, a load unit, a self-generating unit, and multiple load vehicles. The mobile nuclear power unit, the energy storage unit, the load unit, and the self-generating unit are respectively mounted on different load vehicles. The mobile nuclear power unit, the energy storage unit, the load unit, and the self-generating unit are connected in parallel to a busbar. The mobile nuclear power unit includes a microreactor and a converter assembly, and the converter assembly is connected to the busbar via cables.

[0010] Furthermore, the energy storage unit includes multiple energy storage modules, all of which are connected in parallel to the bus.

[0011] Furthermore, the energy storage module includes an energy storage control module, an energy storage converter, and energy storage elements. The energy storage control module is used to control the operation of the energy storage converter. The energy storage elements include batteries and / or supercapacitors. The energy storage elements and the energy storage control module are connected to the energy storage converter via cables. The energy storage converter is connected to the bus via cables.

[0012] Furthermore, the converter group includes a reactor-side converter and a grid-side converter; the mobile nuclear power unit also includes a reactor-side control module and a grid-side control module. The microreactor is connected to the reactor-side converter and the grid-side converter in sequence to the busbar via cables. The reactor-side control module is connected to the reactor-side converter to control the operation of the reactor-side converter, and the grid-side control module is connected to the grid-side converter to control the operation of the grid-side converter.

[0013] Furthermore, the self-generating unit includes a diesel generator for use as a black start power source for the on-board nuclear power system.

[0014] Furthermore, the load unit includes a heat sink device for dissipating heat from the microreactor, and the heat sink device is connected to the busbar via a cable.

[0015] Furthermore, the load unit also includes auxiliary system loads and electrical instrumentation and control system loads.

[0016] To achieve the above objectives, this invention proposes an energy storage capacity calculation method based on the aforementioned vehicle-mounted nuclear power system.

[0017] A method for calculating energy storage capacity, comprising:

[0018] The system collects operational and environmental data during the operation of the vehicle-mounted nuclear power system. The operational data includes load power and timestamps, and the environmental data includes temperature, humidity, timestamps, and equipment operating status. The operational and environmental data are then processed to construct a power grid dataset.

[0019] An LSTM power prediction model is constructed, which includes a forget gate, a memory gate, and an output gate. The power grid dataset is input into the LSTM power prediction model to obtain load prediction data.

[0020] A power balance equation is constructed based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit. The mobile nuclear power unit and the energy storage unit are configured. The discharge process of the energy storage unit is analyzed based on the power balance equation to obtain the output power curve of the energy storage unit. The output power curve is integrated to obtain the dynamic estimated capacity. Multiple dynamic estimated capacities are compared and the larger one is selected as the confirmed capacity.

[0021] Based on the operating conditions and reliability criteria of the vehicle-mounted nuclear power system, a reliability coefficient is determined, and the energy storage capacity is obtained by multiplying the reliability coefficient by the confirmed capacity.

[0022] Furthermore, the operational data and environmental data are processed to construct a power grid dataset, including:

[0023] The power grid dataset is constructed by normalizing the operational data and the environmental data and dividing them into a 15% validation set, a 70% training set, and a 15% test set.

[0024] Furthermore, the expression for the forget gate is as follows:

[0025] ,

[0026] in The value of the forget gate, Let be the connection weight vector of the forget gate. This represents the hidden state of the time-series power grid data from the previous moment. This is the current power grid data. For activation function, Let be the bias vector of the forget gate.

[0027] Furthermore, the expression for the memory gate is as follows:

[0028] ,

[0029] ,

[0030] in The value of the memory gate, Candidate memory units, The connection weight vector of the memory gate, The connection weight vector of the candidate memory cells. This is the current power grid data. For activation function, Let be the bias vector of the memory gate. It is the hyperbolic tangent function. This represents the hidden state of the time-series power grid data from the previous moment. Let be the bias vector of the memory gate.

[0031] Furthermore, the expression for the output gate is as follows:

[0032] ,

[0033] ,

[0034] in The value of the output gate is the load prediction data. Let be the connection weight vector of the output gate. For activation function, This represents the hidden state of the time-series power grid data from the previous moment. This is the current power grid data. Let be the bias vector of the output gate. This represents the hidden state at the current moment. It is the hyperbolic tangent function. This represents the current state.

[0035] Furthermore, a power balance equation is constructed based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit, and its expression is as follows:

[0036] ,

[0037] in For the load prediction data, The power of the energy storage unit. The power of the self-generating unit. The power of the mobile nuclear power unit.

[0038] Furthermore, the output power curve of the energy storage unit is obtained by analyzing the discharge process of the energy storage unit according to the power balance equation, including:

[0039] Based on the power balance equation, the power of the energy storage unit and the power of the mobile nuclear power unit at each fixed time node are calculated using the preset power curve of the self-generating unit, the power calculation expression of the energy storage unit, and the power calculation expression of the mobile nuclear power unit. The power calculation expression of the mobile nuclear power unit is as follows:

[0040] ,

[0041] in Let t be the power of the mobile nuclear power unit, and t be the actual time. Given a preset time constant, the power calculation expression for the energy storage unit is as follows:

[0042] ,

[0043] in Let t be the power of the energy storage unit, and t be the actual time. This is a preset time constant.

[0044] Furthermore, the fixed time node is determined based on the dynamic adjustment rate of the mobile nuclear power unit, and ranges from 1 min to 5 min.

[0045] Furthermore, integrating the output power curve to obtain a dynamic estimated capacity includes:

[0046] ,

[0047] in For the dynamically estimated capacity, The power of the energy storage unit. The discharge time of the energy storage unit is denoted as .

[0048] Furthermore, the reliability coefficient ranges from 1.2 to 1.5.

[0049] To achieve the above objectives, the present invention also proposes an energy storage capacity calculation device.

[0050] An energy storage capacity calculation device, characterized in that it comprises:

[0051] The data acquisition module is used to collect operational data and environmental data of the vehicle-mounted nuclear power system during operation. The operational data includes load power and timestamps, and the environmental data includes temperature, humidity, timestamps, and equipment operating status. The operational data and environmental data are processed to construct a power grid dataset.

[0052] The model building module is used to build an LSTM power prediction model, which includes a forget gate, a memory gate, and an output gate. The power grid dataset is input into the LSTM power prediction model to obtain load prediction data.

[0053] The capacity analysis module is used to construct a power balance equation based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit; configure the mobile nuclear power unit and the energy storage unit; analyze the discharge process of the energy storage unit according to the power balance equation to obtain the output power curve of the energy storage unit; integrate the output power curve to obtain the dynamic estimated capacity; and compare multiple dynamic estimated capacities to select the larger one as the confirmed capacity.

[0054] The safety margin module is used to determine the reliability coefficient based on the operating conditions and reliability criteria of the vehicle-mounted nuclear power system, and multiply the reliability coefficient by the confirmed capacity to obtain the energy storage capacity.

[0055] Based on the above technical solution, the present invention has at least the following beneficial effects:

[0056] 1. This invention proposes a vehicle-mounted nuclear power system and a method for calculating energy storage capacity. By connecting a mobile nuclear power unit, an energy storage unit, a load unit, a self-generating unit, and multiple load vehicles in parallel on the same bus, it achieves unified access and flexible scheduling of multiple power sources. The microreactor, in conjunction with the converter group, can output stable high-power electrical energy. The energy storage unit can smooth power fluctuations and provide transitional support when the dynamic response of the nuclear power unit is insufficient. The self-generating unit can serve as a black-start power source to ensure system startup safety. The load unit is used for heat dissipation and auxiliary system power supply, thereby forming a system with continuous power supply capability, rapid response capability, and safety redundancy. Based on the overall architecture of the power supply, this invention also proposes an energy storage capacity calculation method. By collecting operational and environmental data and combining them with an LSTM power prediction model, load prediction is achieved. Then, the discharge process of the energy storage unit is dynamically analyzed according to the power balance equation. Finally, a reliability coefficient is introduced to determine the energy storage capacity, which enables the scientific configuration of the energy storage unit. When combined with the vehicle-mounted nuclear power system, this method not only gives the system the advantages of multi-source coordination and stable power supply in terms of structure, but also avoids the arbitrariness and redundancy of experience-based configuration in terms of capacity configuration, thus realizing the safety, reliability and efficiency of the system under complex operating conditions.

[0057] 2. This invention proposes a vehicle-mounted nuclear power system and a method for calculating energy storage capacity. By coordinating a mobile nuclear power unit, an energy storage unit, a self-generating unit, and a load unit, it achieves continuous and stable high-power power supply. The energy storage unit, composed of multiple parallel energy storage modules, possesses flexible energy dispatching and capacity expansion capabilities, which can smooth power fluctuations and provide transitional support when the nuclear power unit's output is insufficient. The coordination between the energy storage control module and the converter ensures efficient energy management and safe output. The microreactor, in conjunction with the reactor-side and grid-side converters and their control modules, achieves stable power integration into the bus, ensuring the controllability of nuclear power output. The self-generating unit provides black-start capability, ensuring reliable system startup under conditions without external power. The heat sink device in the load unit effectively dissipates heat from the microreactor and simultaneously assists in the coordination of the system load and the electrical and instrumentation control system load, ensuring the overall safety and stability of the system operation. Through the coordinated action of each unit, the system in this invention not only meets the demand for long-term, high-power power supply but also improves the overall reliability, flexibility, and safety of operation.

[0058] 3. This invention proposes a method for calculating the capacity of a vehicle-mounted nuclear power system and its energy storage. By processing the operating and environmental data of the vehicle-mounted nuclear power system, including normalization and partitioning into training, validation, and test sets, and inputting the data into an LSTM power prediction model for load prediction, this method can accurately reflect the dynamic characteristics of system load changes over time and under varying environmental conditions. It fully considers multiple influencing factors such as load power, equipment operating status, temperature, and humidity, making the prediction results closer to actual operating conditions. This provides a reliable basis for the scientific configuration of energy storage unit capacity and avoids the capacity shortage or redundancy problems that may be caused by traditional static or empirical configuration methods.

[0059] 4. This invention proposes a vehicle-mounted nuclear power system and a method for calculating energy storage capacity. By constructing a power balance equation, the power output of the mobile nuclear power unit, energy storage unit, and self-generating unit is dynamically matched with the predicted load. The discharge process of the energy storage unit is analyzed at each time node, enabling accurate acquisition of the energy storage unit's output power curve. This method not only considers the power response characteristics of the energy storage unit at different time periods but also combines the dynamic adjustment rate of the nuclear power unit and the transition power provision capability of the self-generating unit, allowing the energy storage capacity to dynamically match load changes. This achieves full-cycle analysis and integral calculation of the energy storage unit's discharge process, obtaining a reliable dynamic capacity estimate. The capacity calculation method proposed in this invention, by introducing a reliability coefficient for adjustment, ensures that the energy storage unit can meet high load demands while also considering system safety and continuous power supply capability. This makes the energy storage capacity configuration more accurate and scientific, enabling the entire vehicle-mounted nuclear power system to possess higher reliability, continuity, and safety under complex operating conditions. Attached Figure Description

[0060] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0061] Figure 1 A schematic diagram of an embodiment of a vehicle-mounted nuclear power system is shown;

[0062] Figure 2 An electrical system diagram of an embodiment of a vehicle-mounted nuclear power system is shown;

[0063] Figure 3 A flowchart of an energy storage capacity calculation method according to one embodiment is shown;

[0064] Figure 4 A schematic diagram of an LSTM power prediction model of one embodiment is shown;

[0065] Figure 5 A power characteristic curve of a mobile nuclear power unit during the start-up phase of one embodiment is shown.

[0066] Figure 6 A discharge power characteristic curve of a single-pedal energy storage system according to one embodiment is shown.

[0067] Figure 7 A schematic diagram of the structure of an energy storage capacity calculation device according to one embodiment is shown;

[0068] Figure 8 A schematic diagram of the structure of an energy storage capacity calculation product according to one embodiment is shown;

[0069] Figure 9 A schematic diagram of the structure of an electronic device according to an embodiment is shown. Detailed Implementation

[0070] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0071] The present invention will be further described in detail below with reference to specific embodiments, which should not be construed as limiting the scope of protection claimed by the present invention.

[0072] Example

[0073] To address the lack of a method for calculating the safe capacity of vehicle-mounted power generation systems that incorporates load fluctuations, environmental conditions, and the dynamic characteristics of the power generation unit, this invention proposes a method for calculating the energy storage capacity of a vehicle-mounted nuclear power system.

[0074] To achieve the above objectives, the present invention proposes a vehicle-mounted nuclear power system, such as... Figure 1 As shown, the system includes a mobile nuclear power unit, an energy storage unit, a load unit, a self-generating unit, and multiple load vehicles. The mobile nuclear power unit, the energy storage unit, the load unit, and the self-generating unit are respectively mounted on different load vehicles. The mobile nuclear power unit, the energy storage unit, the load unit, and the self-generating unit are connected in parallel to a busbar. The mobile nuclear power unit includes a microreactor and a converter assembly, and the converter assembly is connected to the busbar via cables.

[0075] In this invention, "micro reactor" refers to a compact reactor system that uses nuclear fission reaction as an energy source. Its designed output power is lower than that of traditional commercial nuclear power units, usually not exceeding 50 megawatts. It can be widely used for energy supply in remote areas, power for military equipment, and distributed energy systems.

[0076] Furthermore, in this embodiment, as Figure 2The busbar shown is BFA10, with a line voltage of 380V, a phase voltage of 220V, and a frequency of 50Hz. One mobile nuclear power unit is carried by a generator load vehicle, with a load capacity of 140kW, connected to circuit breaker QFA22. Two load vehicles are equipped with heat sink devices, connected to circuit breakers QFA23 and QFA24 respectively, with a heat sink load vehicle load of 81.3kW. One load vehicle is equipped with an auxiliary system, connected to circuit breaker QFA21, with an auxiliary system load of 1.5kW, including lights and vehicle cooling. One load vehicle is equipped with an electrical and instrumentation control system, connected to circuit breaker QFA25, with an electrical and instrumentation control system load of 30.5kW. Circuit breakers QFA26, QFA27, QFA28, and QFA29 are connected to external loads on the user side, specifically one 150kW primary load, two 300kW secondary loads, and one 150kW primary load, respectively.

[0077] Furthermore, the energy storage unit includes multiple energy storage modules, which are divided into grid-connected energy storage systems and grid-connected / grid-switching energy storage systems. Each energy storage module includes an energy storage control module, an energy storage converter, and energy storage elements. The energy storage control module is connected to the energy storage converter to control its operation. The energy storage elements include batteries and / or supercapacitors. The energy storage elements and the energy storage control module are connected to the energy storage converter via cables. The energy storage converter is connected to the busbar via cables.

[0078] Specifically, such as Figure 2 As described above, this embodiment includes two energy storage modules. The energy storage system connected to the grid at circuit breaker QFA11 is a grid-connected system, comprising an energy storage converter PCS1 and a supercapacitor BBZ10 with a rated power of 400kW. The energy storage system connected to the grid at circuit breaker QFA12 is a grid-connected / grid-connected conversion system, comprising an energy storage converter PCS2 and a supercapacitor BBZ20 with a rated power of 400kW. In other embodiments, three, four, or five energy storage modules can be configured to handle user-side loads.

[0079] Specifically, such as Figure 2As shown in the diagram, in this embodiment, the mobile nuclear power unit is connected to the bus at the circuit breaker QFA13. This includes a microreactor with a rated frequency of 550Hz, a rated speed of 16500r / min, a machine-side voltage of 690V, a rated output power of 1.5MW, a grid-connected power of 1.5MW, a grid-connected voltage of 690V, and a power factor of 0.9. The microreactor is connected to a converter group, and a circuit breaker QFA16 is provided between the microreactor and the converter group. The converter group includes four AC / DC converters and one DC / AC converter. The microreactor is connected to the DC / AC converter, and the DC / AC converter is connected to the bus.

[0080] Specifically, such as Figure 2 As described above, the self-generating unit is equipped with a diesel generator with a rated power of 250KW, which is connected to circuit breaker QFA14 and controlled by circuit breaker QFA17.

[0081] Furthermore, the vehicle-mounted nuclear power system also includes a reserved analog load that is currently connected via circuit breaker QFA15 and circuit breaker 210 to increase the analog load and stabilize the output and load of the vehicle-mounted nuclear power system.

[0082] To achieve the above objectives, the present invention also proposes a method for calculating energy storage capacity.

[0083] like Figure 3 The figure illustrates an energy storage capacity calculation method according to an embodiment of the present invention. The process mainly includes the following steps:

[0084] S301: Collect the operating data and environmental data of the vehicle-mounted nuclear power system during operation. The operating data includes load power and timestamp, and the environmental data includes temperature, humidity, timestamp and equipment operating status. Process the operating data and environmental data to construct a power grid dataset.

[0085] Furthermore, operational and environmental data for the first 12 months of historical power grid operation data on the user side are collected at a sampling frequency of 1Hz. The operational and environmental data are then processed using data normalization. In this embodiment, the minimum-maximum normalization method is employed, and its expression is as follows:

[0086] ,

[0087] in To collect raw data from operational or environmental data, x′ is the normalized data, and min(x) and max(x) are the minimum and maximum values ​​corresponding to different parameters in the operational or environmental data, respectively.

[0088] Furthermore, after normalizing the operational data and the environmental data, the dataset is divided into a 15% validation set, a 70% training set, and a 15% test set to construct the power grid dataset. In other embodiments, Z-normalization, logarithmic normalization, inverse cosine normalization, or fractional scaling normalization can also be used to preprocess the operational data and environmental data.

[0089] S302: Construct an LSTM power prediction model, which includes a forget gate, a memory gate, and an output gate. Input the power grid dataset into the LSTM power prediction model to obtain load prediction data.

[0090] Furthermore, the constructed LSTM power prediction model is as follows: Figure 4 As shown, where The value of the forget gate. The value of the memory gate. The value of the output gate is the load prediction data. The current state. This refers to the state at the previous moment. This is the current power grid data. It is the hyperbolic tangent function. This represents the hidden state of the time-series power grid data from the previous moment. This represents the hidden state at the current moment. These are candidate memory units.

[0091] Furthermore, the expression for the forget gate is as follows:

[0092] ,

[0093] in The value of the forget gate, Let be the connection weight vector of the forget gate. This represents the hidden state of the time-series power grid data from the previous moment. This is the current power grid data. For activation function, Let be the bias vector of the forget gate; the expression for the forget gate is as follows:

[0094] ,

[0095] ,

[0096] in The value of the memory gate, Candidate memory units, The connection weight vector of the memory gate, The connection weight vector of the candidate memory cells. This is the current power grid data. For activation function, Let be the bias vector of the memory gate. It is the hyperbolic tangent function. This represents the hidden state of the time-series power grid data from the previous moment. Let be the bias vector of the memory gate; the expression for the output gate is as follows:

[0097] ,

[0098] ,

[0099] in The value of the output gate is the load prediction data. Let be the connection weight vector of the output gate. For activation function, This represents the hidden state of the time-series power grid data from the previous moment. This is the current power grid data. Let be the bias vector of the output gate. This represents the hidden state at the current moment. It is the hyperbolic tangent function. This represents the current state.

[0100] Furthermore, the preprocessed power grid data is input into the constructed power prediction model to obtain load prediction data, which includes load data and corresponding timestamps.

[0101] S303: Construct a power balance equation based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit; configure the mobile nuclear power unit and the energy storage unit; analyze the discharge process of the energy storage unit based on the power balance equation to obtain the output power curve of the energy storage unit; integrate the output power curve to obtain the dynamic estimated capacity; compare multiple dynamic estimated capacities and select the larger one as the confirmed capacity.

[0102] Furthermore, a power balance equation is constructed based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit, and its expression is as follows:

[0103] ,

[0104] in For the load prediction data, The power of the energy storage unit. The power of the self-generating unit. The power of the mobile nuclear power unit.

[0105] Furthermore, based on the power balance equation, the power of the energy storage unit and the power of the mobile nuclear power unit at each fixed time node are calculated using the preset power curve of the self-generating unit, the power calculation expression of the energy storage unit, and the power calculation expression of the mobile nuclear power unit. The power calculation expression of the mobile nuclear power unit is as follows:

[0106] ,

[0107] in Let t be the power of the mobile nuclear power unit, and t be the actual time. Given a preset time constant, the power calculation expression for the energy storage unit is as follows:

[0108] ,

[0109] in Let t be the power of the energy storage unit, and t be the actual time. The time constant is a preset time point. The fixed time point is determined according to the dynamic adjustment rate of the mobile nuclear power unit and ranges from 1 min to 5 min. In this embodiment, 1 min is used. In other embodiments, 2 min, 3 min, 4 min or 5 min can also be used.

[0110] Specifically, such as Figure 5 The diagram shows the power characteristic curves of the mobile nuclear power unit during the startup phase. The horizontal axis represents time in hours (h), and the vertical axis represents power in kilowatts (kW). The load increase frequency of the onboard nuclear power system is 15 kW / minute. The period from 0h to 5.3h represents the intervention of the self-generating unit during startup. In this embodiment, a diesel generator is used to power the mobile nuclear power unit and start the microreactor. The diesel generator has a rated power of 250W. The power output of the diesel generator gradually decreases over time. When it drops to 10kW, the diesel generator stops supplying power, i.e., at 5.3h. At this time, the energy storage unit intervenes to supply power, providing power to the load units connected to the busbar during the period from 5.3h to 10h. The power characteristic curve of the energy storage unit during this period is shown in the diagram. Figure 6As shown in the diagram, P0 is 300KW and t0 is 10h. At t=10h, the load prediction data in the balance equation is equal to the power of the mobile nuclear power unit. However, the microreactor is not fully started at this time, so the current load increase frequency remains at 15KW / min. From 10h to 15h, the microreactor supplies power to the load inside the vehicle-mounted nuclear power system, and the energy storage unit stops supplying power and is charged by the power output of the microreactor. When the operating time reaches 15h, the microreactor is fully started, and the load on the user side is connected to the bus. During the above-mentioned start-up phase, from 5.3h to 10h, the energy storage unit supplies power to the vehicle-mounted nuclear power system. Since the start-up phase has the highest requirements for the power supply of the energy storage unit during the complete operation of the microreactor, the energy storage unit needs to immediately perform power compensation. Therefore, the capacity calculation is performed based on the power supply process during this phase. The power output of the energy storage unit is calculated by integration according to the above formula, and its expression is as follows:

[0111] ,

[0112] in For dynamic capacity estimation during the startup phase, The real-time power of the energy storage unit was analyzed, and the dynamic estimated capacity was 232 kWh. The energy storage unit discharge capacity for each time period was calculated according to the balance equation for all operating periods of the nuclear power process. The multiple capacities were compared and the largest one was selected as the confirmed capacity. The analysis process was the same as that of the startup phase, so it will not be repeated here. The dynamic estimated capacity for the shutdown phase was 51 kWh. Therefore, 232 kWh was selected as the confirmed capacity.

[0113] S304: Based on the operating conditions and reliability criteria of the vehicle-mounted nuclear power system, determine the reliability coefficient, and multiply the reliability coefficient by the confirmed capacity to obtain the energy storage capacity.

[0114] Furthermore, the reliability coefficient is determined based on the accident occurrence probability data table, as shown in Table 1 below.

[0115] Table 1. Accident Occurrence Probability Data Table

[0116]

[0117] Specifically, in this invention, the operating condition of the microreactor corresponds to the core temperature exceeding the limit during normal shutdown, where the impact of a fault is high. Therefore, the reliability coefficient is selected between 1.5 and 1.8. In this embodiment, considering both economy and safety, 1.6 is chosen as the reliability coefficient. Therefore, the energy storage capacity is obtained by multiplying the confirmed capacity obtained above by the reliability coefficient, and its expression is as follows:

[0118] ,

[0119] The energy storage capacity calculated above is rounded up, and the total capacity of the energy storage unit is limited to no less than 372 kWh.

[0120] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0121] Based on another aspect of the embodiments of this application, the present invention also provides an energy storage capacity calculation device. For example... Figure 7 As shown, the device includes:

[0122] The acquisition module 701 is used to acquire the operating data and environmental data of the vehicle-mounted nuclear power system during operation. The operating data includes load power and timestamp, and the environmental data includes temperature, humidity, timestamp and equipment operating status. The operating data and environmental data are processed to construct a power grid dataset.

[0123] The model building module 702 is used to build an LSTM power prediction model, which includes a forget gate, a memory gate and an output gate. The power grid dataset is input into the LSTM power prediction model to obtain load prediction data.

[0124] The capacity analysis module 703 is used to construct a power balance equation based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit; configure the mobile nuclear power unit and the energy storage unit; analyze the discharge process of the energy storage unit based on the power balance equation to obtain the output power curve of the energy storage unit; integrate the output power curve to obtain a dynamic estimated capacity; and compare multiple dynamic estimated capacities to select the larger one as the confirmed capacity.

[0125] Safety margin module 704 is used to determine the reliability coefficient based on the operating conditions and reliability criteria of the vehicle-mounted nuclear power system, and multiply the reliability coefficient by the confirmed capacity to obtain the energy storage capacity.

[0126] As an optional solution, the above-mentioned apparatus is also used to: process the operating data and the environmental data to construct a power grid dataset, including: normalizing the operating data and the environmental data and dividing them into a 15% validation set, a 70% training set, and a 15% test set to construct the power grid dataset.

[0127] As an optional solution, the above-mentioned device is also used for: the expression of the forget gate is as follows: ,in The value of the forget gate, Let be the connection weight vector of the forget gate. This represents the hidden state of the time-series power grid data from the previous moment. This is the current power grid data. For activation function, Let be the bias vector of the forget gate.

[0128] As an optional solution, the above-mentioned device is also used for: the expression of the memory gate is as follows: , ,in The value of the memory gate, Candidate memory units, The connection weight vector of the memory gate, The connection weight vector of the candidate memory cells. This is the current power grid data. For activation function, Let be the bias vector of the memory gate. It is the hyperbolic tangent function. This represents the hidden state of the time-series power grid data from the previous moment. Let be the bias vector of the memory gate.

[0129] As an optional solution, the above-mentioned device is also used for: the expression of the output gate is as follows: , ,in The value of the output gate is the load prediction data. Let be the connection weight vector of the output gate. For activation function, This represents the hidden state of the time-series power grid data from the previous moment. This is the current power grid data. Let be the bias vector of the output gate. This represents the hidden state at the current moment. It is the hyperbolic tangent function. This represents the current state.

[0130] As an optional solution, the above-mentioned device is also used to: construct a power balance equation based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit, the expression of which is as follows: ,in For the load prediction data, The power of the energy storage unit. The power of the self-generating unit. The power of the mobile nuclear power unit.

[0131] As an optional solution, the above-mentioned device is further used to: analyze the discharge process of the energy storage unit according to the power balance equation to obtain the output power curve of the energy storage unit, including: based on the power balance equation, calculating the power of the energy storage unit and the power of the mobile nuclear power unit at each fixed time node through the preset power curve of the self-generating unit, the power calculation expression of the energy storage unit, and the power calculation expression of the mobile nuclear power unit, wherein the power calculation expression of the mobile nuclear power unit is as follows: ,in Let t be the power of the mobile nuclear power unit, and t be the actual time. Given a preset time constant, the power calculation expression for the energy storage unit is as follows: ,in Let t be the power of the energy storage unit, and t be the actual time. This is a preset time constant.

[0132] As an optional solution, the above-mentioned device is also used to: determine the fixed time node according to the dynamic adjustment rate of the mobile nuclear power unit, ranging from 1 min to 5 min.

[0133] As an optional solution, the above-mentioned device is also used to: integrate the output power curve to obtain a dynamically estimated capacity, including: ,in For the dynamically estimated capacity, The power of the energy storage unit. The discharge time of the energy storage unit is denoted as .

[0134] In this application embodiment, the terms "module" or "unit" refer to a computer program or part of a computer program that has a predetermined function and works with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.

[0135] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0136] According to one aspect of this application, a computer program product is provided, the computer program product comprising a computer program.

[0137] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0138] Figure 8 A schematic block diagram of a computer system architecture for implementing an electronic device according to embodiments of the present application is shown.

[0139] It should be noted that, Figure 8 The computer system 800 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0140] like Figure 8 As shown, the computer system 800 includes a central processing unit (CPU) 801, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 802 or programs loaded from storage section 808 into random access memory (RAM). The random access memory 803 also stores various programs and data required for system operation. The CPU 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output interface 805 (I / O interface) is also connected to the bus 804.

[0141] The following components are connected to the input / output interface 805: an input section 806 including a keyboard, mouse, etc.; an output section 807 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 808 including a hard disk, etc.; and a communication section 809 including a network interface card such as a local area network card, modem, etc. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the input / output interface 805 as needed. A removable medium 83, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 810 as needed so that computer programs read from it can be installed into the storage section 808 as needed.

[0142] Specifically, according to embodiments of this application, the processes described in the various method flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 809, and / or installed from removable medium 83. When the computer program is executed by central processing unit 801, it performs various functions defined in the system of this application.

[0143] In such an embodiment, the computer program can be downloaded and installed from a network via communication section 809, and / or installed from removable medium 83. When the computer program is executed by central processing unit 801, it performs various functions provided in the embodiments of this application.

[0144] According to another aspect of the embodiments of this application, an electronic device for a method of calculating energy storage capacity is also provided. This embodiment uses this electronic device as an example of a terminal device for illustration. Figure 9 As shown, the electronic device includes a memory 902 and a processor 904. The memory 902 stores a computer program, and the processor 904 is configured to execute the steps of any of the above method embodiments through the computer program.

[0145] Optionally, in this embodiment, the aforementioned electronic device may be located in at least one of a plurality of network devices in a computer network.

[0146] Optionally, in this embodiment, the processor may be configured to execute the methods in the embodiments of this application via a computer program.

[0147] Alternatively, as those skilled in the art will understand, Figure 9 The structure shown is for illustrative purposes only. Figure 9 This does not limit the structure of the aforementioned electronic devices. For example, the electronic device may also include components that are more... Figure 9 The more or fewer components shown (such as network interfaces, etc.), or having the same Figure 9 The different configurations shown.

[0148] The memory 902 can be used to store software programs and modules, such as the program instructions / modules corresponding to the energy storage capacity calculation method and apparatus in this embodiment. The processor 904 executes various functional applications and data processing by running the software programs and modules stored in the memory 902, thereby realizing the aforementioned energy storage capacity calculation method. The memory 902 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 902 may further include memory remotely located relative to the processor 904, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. Specifically, the memory 902 may be used, but is not limited to, to store collected operational data or cleaned data information. As an example, such as... Figure 9 As shown, the memory 902 may include, but is not limited to, the data acquisition module 701, model building module 702, capacity analysis module 703, and safety margin module 704 found in the aforementioned energy storage capacity calculation device. Furthermore, it may include, but is not limited to, other module units found in the aforementioned device, which will not be elaborated upon in this example.

[0149] Optionally, the transmission device 906 described above is used to receive or send data via a network. Specific examples of the network described above may include wired networks and wireless networks. In one example, the transmission device 906 includes a Network Interface Controller (NIC), which can be connected to other network devices and routers via a network cable to communicate with the Internet or a local area network. In another example, the transmission device 906 is a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0150] In addition, the aforementioned electronic device also includes: a display 908 for displaying the aforementioned operating data or cleaning data; and a connection bus 910 for connecting the various module components in the aforementioned electronic device.

[0151] In other embodiments, the aforementioned terminal device or server can be a node in a distributed system, wherein the distributed system can be a blockchain system, which is a distributed system formed by connecting multiple nodes through network communication. The nodes can form a peer-to-peer network, and any form of computing device, such as a server, terminal, or other electronic device, can become a node in the blockchain system by joining this peer-to-peer network.

[0152] According to one aspect of this application, a computer-readable storage medium is provided, wherein a processor of an electronic device reads computer instructions from the computer-readable storage medium, and executes the computer instructions, causing the electronic device to perform an energy storage capacity calculation method provided in one of the various alternative implementations of the above-described energy storage capacity calculation.

[0153] Optionally, in this embodiment, the computer-readable storage medium described above may be configured to store methods for performing the embodiments of this application.

[0154] Optionally, in this embodiment, those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a computer-readable storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0155] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0156] If the integrated units in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in the aforementioned computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause one or more electronic devices to execute all or part of the steps of the methods described in the various embodiments of this application.

[0157] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0158] In the several embodiments provided in this application, it should be understood that the disclosed application can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0159] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0160] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0161] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0162] In summary, as can be seen from the above description, the embodiments of the present invention achieve the following technical effects:

[0163] 1. This invention proposes a vehicle-mounted nuclear power system and a method for calculating energy storage capacity. By connecting a mobile nuclear power unit, an energy storage unit, a load unit, a self-generating unit, and multiple load vehicles in parallel on the same bus, it achieves unified access and flexible scheduling of multiple power sources. The microreactor, in conjunction with the converter group, can output stable high-power electrical energy. The energy storage unit can smooth power fluctuations and provide transitional support when the dynamic response of the nuclear power unit is insufficient. The self-generating unit can serve as a black-start power source to ensure system startup safety. The load unit is used for heat dissipation and auxiliary system power supply, thereby forming a system with continuous power supply capability, rapid response capability, and safety redundancy. Based on the overall architecture of the power supply, this invention also proposes an energy storage capacity calculation method. By collecting operational and environmental data and combining them with an LSTM power prediction model, load prediction is achieved. Then, the discharge process of the energy storage unit is dynamically analyzed according to the power balance equation. Finally, a reliability coefficient is introduced to determine the energy storage capacity, which enables the scientific configuration of the energy storage unit. When combined with the vehicle-mounted nuclear power system, this method not only gives the system the advantages of multi-source coordination and stable power supply in terms of structure, but also avoids the arbitrariness and redundancy of experience-based configuration in terms of capacity configuration, thus realizing the safety, reliability and efficiency of the system under complex operating conditions.

[0164] 2. This invention proposes a vehicle-mounted nuclear power system and a method for calculating energy storage capacity. By coordinating a mobile nuclear power unit, an energy storage unit, a self-generating unit, and a load unit, it achieves continuous and stable high-power power supply. The energy storage unit, composed of multiple parallel energy storage modules, possesses flexible energy dispatching and capacity expansion capabilities, which can smooth power fluctuations and provide transitional support when the nuclear power unit's output is insufficient. The coordination between the energy storage control module and the converter ensures efficient energy management and safe output. The microreactor, in conjunction with the reactor-side and grid-side converters and their control modules, achieves stable power integration into the bus, ensuring the controllability of nuclear power output. The self-generating unit provides black-start capability, ensuring reliable system startup under conditions without external power. The heat sink device in the load unit effectively dissipates heat from the microreactor and simultaneously assists in the coordination of the system load and the electrical and instrumentation control system load, ensuring the overall safety and stability of the system operation. Through the coordinated action of each unit, the system in this invention not only meets the demand for long-term, high-power power supply but also improves the overall reliability, flexibility, and safety of operation.

[0165] 3. This invention proposes a method for calculating the capacity of a vehicle-mounted nuclear power system and its energy storage. By processing the operating and environmental data of the vehicle-mounted nuclear power system, including normalization and partitioning into training, validation, and test sets, and inputting the data into an LSTM power prediction model for load prediction, this method can accurately reflect the dynamic characteristics of system load changes over time and under varying environmental conditions. It fully considers multiple influencing factors such as load power, equipment operating status, temperature, and humidity, making the prediction results closer to actual operating conditions. This provides a reliable basis for the scientific configuration of energy storage unit capacity and avoids the capacity shortage or redundancy problems that may be caused by traditional static or empirical configuration methods.

[0166] 4. This invention proposes a vehicle-mounted nuclear power system and a method for calculating energy storage capacity. By constructing a power balance equation, the power output of the mobile nuclear power unit, energy storage unit, and self-generating unit is dynamically matched with the predicted load. The discharge process of the energy storage unit is analyzed at each time node, enabling accurate acquisition of the energy storage unit's output power curve. This method not only considers the power response characteristics of the energy storage unit at different time periods but also combines the dynamic adjustment rate of the nuclear power unit and the transition power provision capability of the self-generating unit, allowing the energy storage capacity to dynamically match load changes. This achieves full-cycle analysis and integral calculation of the energy storage unit's discharge process, obtaining a reliable dynamic capacity estimate. The capacity calculation method proposed in this invention, by introducing a reliability coefficient for adjustment, ensures that the energy storage unit can meet high load demands while also considering system safety and continuous power supply capability. This makes the energy storage capacity configuration more accurate and scientific, enabling the entire vehicle-mounted nuclear power system to possess higher reliability, continuity, and safety under complex operating conditions.

[0167] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0168] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0169] It should be noted that, in the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

Claims

1. A vehicle-mounted nuclear power system, characterized in that, It includes a mobile nuclear power unit, an energy storage unit, a load unit, a self-generating unit, and multiple load vehicles. The mobile nuclear power unit, the energy storage unit, the load unit, and the self-generating unit are respectively mounted on different load vehicles. The mobile nuclear power unit, the energy storage unit, the load unit, and the self-generating unit are connected in parallel to a busbar. The mobile nuclear power unit includes a microreactor and a converter group. The converter group is connected to the busbar via cables.

2. The system according to claim 1, characterized in that, The energy storage unit includes multiple energy storage modules. Multiple energy storage modules are connected in parallel to the bus.

3. The system according to claim 2, characterized in that, The energy storage module includes an energy storage control module, an energy storage converter, and energy storage elements. The energy storage control module is used to control the operation of the energy storage converter; the energy storage element includes a battery and / or a supercapacitor; the energy storage element and the energy storage control module are connected to the energy storage converter via cables; the energy storage converter is connected to the bus via cables.

4. The system according to claim 1, characterized in that, The converter group includes a machine-side converter and a grid-side converter; the mobile nuclear power unit further includes a machine-side control module and a grid-side control module. The microreactor is connected to the machine-side converter and the grid-side converter in sequence to the bus via cables. The machine-side control module is connected to the machine-side converter to control the operation of the machine-side converter, and the grid-side control module is connected to the grid-side converter to control the operation of the grid-side converter.

5. The system according to claim 1, characterized in that, The self-generating unit includes a diesel generator, which serves as the black start power source for the on-board nuclear power system.

6. The system according to claim 1, characterized in that, The load unit includes a heat sink device for dissipating heat from the microreactor, and the heat sink device is connected to the busbar via a cable.

7. The system according to claim 1, characterized in that, The load unit also includes auxiliary system loads and electrical instrumentation and control system loads.

8. A method for calculating the energy storage capacity of a vehicle-mounted nuclear power system according to any one of claims 1-7, characterized in that, include: The system collects operational and environmental data during the operation of the vehicle-mounted nuclear power system. The operational data includes load power and timestamps, and the environmental data includes temperature, humidity, timestamps, and equipment operating status. The operational and environmental data are then processed to construct a power grid dataset. An LSTM power prediction model is constructed, which includes a forget gate, a memory gate, and an output gate. The power grid dataset is input into the LSTM power prediction model to obtain load prediction data. A power balance equation is constructed based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit. The mobile nuclear power unit and the energy storage unit are configured. The discharge process of the energy storage unit is analyzed based on the power balance equation to obtain the output power curve of the energy storage unit. The output power curve is integrated to obtain the dynamic estimated capacity. Multiple dynamic estimated capacities are compared and the larger one is selected as the confirmed capacity. Based on the operating conditions and reliability criteria of the vehicle-mounted nuclear power system, a reliability coefficient is determined, and the energy storage capacity is obtained by multiplying the reliability coefficient by the confirmed capacity.

9. The method according to claim 8, characterized in that, The operational data and environmental data are processed to construct a power grid dataset, including: The power grid dataset is constructed by normalizing the operational data and the environmental data and dividing them into a 15% validation set, a 70% training set, and a 15% test set.

10. The method according to claim 8, characterized in that, The expression for the forget gate is as follows: ， in The value of the forget gate, Let be the connection weight vector of the forget gate. This represents the hidden state of the time-series power grid data from the previous moment. This is the current power grid data. For activation function, Let be the bias vector of the forget gate.

11. The method according to claim 8, characterized in that, The expression for the memory gate is as follows: ， ， in The value of the memory gate, Candidate memory units, The connection weight vector of the memory gate, The connection weight vector of the candidate memory cells. This is the current power grid data. For activation function, Let be the bias vector of the memory gate. It is the hyperbolic tangent function. This represents the hidden state of the time-series power grid data from the previous moment. Let be the bias vector of the memory gate.

12. The method according to claim 8, characterized in that, The expression for the output gate is as follows: ， ， in The value of the output gate is the load prediction data. Let be the connection weight vector of the output gate. For activation function, This represents the hidden state of the time-series power grid data from the previous moment. This is the current power grid data. Let be the bias vector of the output gate. This represents the hidden state at the current moment. It is the hyperbolic tangent function. This represents the current state.

13. The method according to claim 8, characterized in that, Based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit, a power balance equation is constructed, the expression of which is as follows: ， in For the load prediction data, The power of the energy storage unit. The power of the self-generating unit. The power of the mobile nuclear power unit.

14. The method according to claim 12, characterized in that, The output power curve of the energy storage unit is obtained by analyzing the discharge process of the energy storage unit based on the power balance equation, including: Based on the power balance equation, the power of the energy storage unit and the power of the mobile nuclear power unit at each fixed time node are calculated using the preset power curve of the self-generating unit, the power calculation expression of the energy storage unit, and the power calculation expression of the mobile nuclear power unit. The power calculation expression of the mobile nuclear power unit is as follows: ， in Let t be the power of the mobile nuclear power unit, and t be the actual time. Given a preset time constant, the power calculation expression for the energy storage unit is as follows: ， in Let t be the power of the energy storage unit, and t be the actual time. This is a preset time constant.

15. The method according to claim 14, characterized in that, The fixed time points are determined based on the dynamic adjustment rate of the mobile nuclear power unit, and range from 1 min to 5 min.

16. The method according to claim 14, characterized in that, Integrating the output power curve to obtain a dynamic estimated capacity includes: ， in For the dynamically estimated capacity, The power of the energy storage unit. The discharge time of the energy storage unit is denoted as .

17. The method according to claim 8, characterized in that, The reliability coefficient ranges from 1.2 to 1.

5.

18. An energy storage capacity calculation device, characterized in that, include: The data acquisition module is used to collect operational data and environmental data of the vehicle-mounted nuclear power system during operation. The operational data includes load power and timestamps, and the environmental data includes temperature, humidity, timestamps, and equipment operating status. The operational data and environmental data are processed to construct a power grid dataset. The model building module is used to build an LSTM power prediction model, which includes a forget gate, a memory gate, and an output gate. The power grid dataset is input into the LSTM power prediction model to obtain load prediction data. The capacity analysis module is used to construct a power balance equation based on the load forecast data, the power of the mobile nuclear power unit, the power of the energy storage unit, and the power of the self-generating unit; configure the mobile nuclear power unit and the energy storage unit; analyze the discharge process of the energy storage unit according to the power balance equation to obtain the output power curve of the energy storage unit; integrate the output power curve to obtain the dynamic estimated capacity; and compare multiple dynamic estimated capacities to select the larger one as the confirmed capacity. The safety margin module is used to determine the reliability coefficient based on the operating conditions and reliability criteria of the vehicle-mounted nuclear power system, and multiply the reliability coefficient by the confirmed capacity to obtain the energy storage capacity.

19. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein the computer program can be executed by an electronic device to perform the method described in any one of claims 1 to 17.

20. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program performs the steps of the method described in any one of claims 1 to 17.

21. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to execute the method described in any one of claims 1 to 17 through the computer program.

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